@H2HOLE · Post #161 · 05/27/2024, 04:25 PM
Python 3.13 起已可使用 --disable-gil 关闭 GIL。 https://docs.python.org/3.13/whatsnew/3.13.html#free-threaded-cpython thread: /4469 #Python#GIL
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Source channel @githubtrending · Post #14717 · May 18
#jupyter_notebook Learning about Large Language Models (LLMs) can be very beneficial. You can build exciting projects over eight weeks, starting with simple tasks and moving to more complex ones. This journey helps you develop deep expertise in AI and LLMs. You'll learn by doing hands-on projects, which is a fun and effective way to understand how these models work. By the end, you'll have skills that can be used in real-world applications, making it a valuable learning experience. https://github.com/ed-donner/llm_engineering
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@H2HOLE · Post #161 · 05/27/2024, 04:25 PM
Python 3.13 起已可使用 --disable-gil 关闭 GIL。 https://docs.python.org/3.13/whatsnew/3.13.html#free-threaded-cpython thread: /4469 #Python#GIL
@djangoproject · Post #156 · 09/06/2016, 01:43 AM
https://wiki.python.org/moin/GlobalInterpreterLock In #CPython, the #global#interpreter lock, or #GIL, is a mutex that prevents multiple native #threads from executing Python bytecodes at once. This lock is necessary mainly because CPython's memory management is not thread-safe. (However, since the GIL exists, other features have grown to depend on the guarantees that it enforces.)